Maintain clear communication with cross-functional teams and customers by applying a zero-inbox policy, ensuring all queries are promptly addressed and tracked into our project management framework and Kanban board with accuracy and clarity.
Support function and fitment tests during fabrication, conduct pre-delivery inspections on behalf of customers, and identify delivery inefficiencies to propose data-driven improvements.
A diploma or bachelor’s degree in a STEM’s field....
Partner with OSATs to deliver assembly readiness for new product qualification. Key activities include BOM & process setup, risk analysis & mitigation, process characterization, lookahead assessment, qualification and CAB preparation leading to first part release
Manage production ramp: lead production safe launch, provide technical support to resolve ramp issues, develop CIP, set production baseline for transition into HVM
Collaborate with internal & external partners for technology pathfinding, package roadmap as well as design rules/ guideline development...
Responsible for technical and quality matters of design deliverables, schedule compliance and budget control by providing input to project executions plans and schedules for the project.
Perform or initiate conceptual basic design and detail design calculations and drawings.
Able to plan project work effectively and ensure all project work is done according to schedule and budget....
o Design, configure and maintain monitoring solutions to ensure system health, availability and performance visibility across infrastructure, networks, applications and security platforms in New Data Centre....
Hartalega is made up of a tight-knit, passionate and highly-skilled set of individuals. From our top executives, to our line technicians; we are all proud to be part of an elite group responsible for revolutionising the glove-making industry.
Job Purpose
Lead automation, digitalisation, and Industry 4.0 initiatives by designing and integrating control, instrumentation, and data systems for glove manufacturing operations....
Conduct rigorous testing and provide ongoing maintenance for applications to uphold performance and reliability standards.
Cultivate deep insights into clients' businesses and industries, leveraging this understanding to identify and capitalize on new opportunities for innovation and improvement.
Foster strong client relationships through clear and effective communication, collaborating closely with both clients and superiors to achieve project success....
Independent and self-responsible implementation and quality assurance of product increments, including test automation, CI/CD integration, security and compliance testing, and defect management.
Development and execution of automated UI, API, integration, regression, and end-to-end test suites.
Root cause analysis, defect tracking, quality risk assessment, and continuous improvement of testing processes....
Job SummaryWe are looking for a hands-on AI Engineer to design, develop, integrate, and deploy Generative AI, AI chatbot, and Agentic AI solutions. The role will focus on building practical AI applications and integrating LLM capabilities with existing applications, APIs, databases, and enterprise systems.Key ResponsibilitiesDesign and develop AI chatbots, copilots, and LLM-powered applications.Build Agentic AI solutions with reasoning, tool/function calling, multi-step task execution, and workflow automation.Implement RAG, embeddings, vector search, prompt engineering, and conversational memory.Work with commercial and open-source LLMs and select appropriate models based on business and technical requirements.Integrate AI solutions with REST APIs, databases, CRM/ERP systems, and enterprise applications.Develop AI integration services and APIs for existing systems and business workflows.Evaluate and optimize AI solutions for accuracy, reliability, latency, scalability, security, and cost.Collaborate with software engineers, architects, product teams, and business stakeholders.Keep up to date with developments in Generative AI, LLMs, Agentic AI, and AI automation.RequirementsBachelor's degree in Computer Science, AI/ML, Software Engineering, or a related field.3+ years of experience in AI/ML engineering, software engineering, or a related role.Hands-on experience developing LLM applications, AI chatbots, or Generative AI solutions.Practical experience with AI Agents, Agentic AI, tool/function calling, or AI workflow automation.Experience with open-source LLMs such as Llama, Qwen, Mistral, Gemma, or equivalent.Strong Python programming and software engineering skills.Experience with REST APIs, system integration, databases, and cloud/on-premise environments.Hands-on experience with RAG, vector databases, embeddings, and prompt engineering.Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or equivalent.Experience with LLM platforms such as OpenAI, Azure OpenAI, Anthropic, Gemini, and/or open-source models.Familiarity with Docker, Git, CI/CD, and production deployment.Preferred SkillsExperience serving open-source LLMs using vLLM, Hugging Face, Ollama, or equivalent.Experience with MCP, multi-agent systems, LLM evaluation/observability, fine-tuning, LoRA/QLoRA, or model optimization.Experience with AWS, Azure, or Google Cloud.Knowledge of AI security, data privacy, access control, and responsible AI.